Data Operations Engineer

This role is On-Site in Tempe, AZ

What You9ll Actually Do

Data Operations Engineer supports the development and maintenance of data systems used in healthcare and TPA claims processing. This role assists with building and troubleshooting data pipelines, ensuring data accuracy across on-prem and cloud environments, and collaborating with senior engineers, analysts, and business teams. Approximately 50% of the role involves handling support tickets, including diagnosing pipeline issues, addressing data quality concerns, and responding to user requests. This position is ideal for someone early in their data engineering career with minimum 2 years of experience who is eager to learn and grow technical skills in ETL/ELT, SQL, and data workflows while contributing to operational and analytical needs across the organization.

What You Bring to Our Team

Essential Functions/Responsibilities/Duties Assist in maintaining and troubleshooting ETL/ELT data pipelines used for healthcare and TPA claims processing. Work with Python and SQL to support data extraction, transformation, validation, and loading across on-prem and cloud environments. Help monitor pipeline performance and resolve data issues, including reviewing logs, investigating failed jobs, and correcting data discrepancies. Handle support tickets (50% of the time), responding to user requests, researching data questions, and helping resolve operational data problems. Supports daily process monitoring, including checking production processes and/or jobs, application performance, application maintenance, etc. Support data management tasks in systems such as PostgreSQL, Oracle, and cloud-based databases. Work with senior team members to learn data workflows, healthcare data formats, file transfers, and reporting processes. Assist in maintaining data quality and accuracy through routine checks, documentation, and follow-up. Collaborate with Data Analysts, Developers, and business users to understand data needs and support ongoing reporting and data operations. Participate in team meetings, sprint activities, and knowledge-sharing to continue developing data engineering skills.

Required Knowledge, Skills, and Abilities

• AWS Certification (or willingness to obtain within 6 612 months), such as AWS Cloud Practitioner or AWS Developer 6 Associate.
• 2 3 years of experience in data engineering, analytics engineering, or a related technical role.
• Proficiency in Python and SQL, including writing queries, joins, basic transformations, and troubleshooting.
• Hands-on experience with relational databases (PostgreSQL, Oracle, AWS RDS) and familiarity with basic data warehouse concepts.
• Some exposure to cloud environments (AWS, Azure, ) is preferred but not required.
• Understanding of ETL/ELT pipelines, data validation, and data quality monitoring.
• Experience handling support tickets or operational data issues is strongly preferred (50% of role).
• Basic knowledge of Linux command line for navigating servers and running scripts.
• Familiarity with collaboration tools such as JIRA and Git/Bitbucket.
• Strong attention to detail and focus on data accuracy and reliability.
• Effective written and verbal communication skills; able to document findings and processes.
• Demonstrated ability to manage time, prioritize tasks, and follow through on commitments.
• Collaborative mindset, able to work with both technical and non-technical team members.
• Self-motivated, able to prioritize tasks, and eager to learn from senior team members.
• Interest in developing skills in ETL workflows, data pipelines, and cloud data environments over time.

Nice to Have (Not Required):

• Experience with healthcare EDI formats (e.g., 834, 835, 837, 999).
• Exposure to AWS services (e.g., S3, RDS, Lambda) or cloud-based data tools.
• Experience with orchestration tools (Airflow), containers (Docker), or CI/CD pipelines.
• Familiarity with relational databases such as PostgreSQL, Oracle, or AWS RDS.
• Familiarity with AWS services (S3, RDS, Lambda, Glue) or modern data warehouses (Redshift, Snowflake).
• Basic understanding of data modeling concepts (star/snowflake schemas, dimensional modeling).

Disclaimer

This job description is not intended to contain a comprehensive list of activities, duties, or responsibilities, but constitutes a general description of the scope and function of the role within the company. Activities, duties, and responsibilities are subject to change at any time with or without notice.

Benefits

The Highlights:

• Competitive base salary and benefits effective day one
• Comprehensive medical and dental through our own health solutions (yes, we use what we build)
• Unlimited PTO 6rest and recharge time is non-negotiable
• Mental health support, retirement planning, and financial protection
• Professional development with clear career progression and learning budgets
• Mission-driven culture where diverse perspectives drive real impact on people9s health

Want the full picture?Visitpersonifyhealthbenefits.comto explore our complete benefits package, wellness programs, and other employee perks.

Compensation: This position offers a base salary range of $84,000-$87,000, depending on location, skills, and experience. You9re eligible for our full benefits package starting day one.